Gaussian models for probabilistic and deterministic Wind Power Prediction: Wind farm and regional
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Hydrogen Energy"
DOI: 10.1016/j.ijhydene.2020.07.081
Abstract: Abstract Due to the unstable situation of the atmosphere, the wind power forecasting of the wind farms (WFs) will be so complex. This unsteady provides an opportunity in order to investigate the wind power probabilistic… read more here.
Keywords: wind power; indirect prediction; prediction; gaussian models ... See more keywords
Multidimensional linear functional estimation in sparse Gaussian models and robust estimation of the mean
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DOI: 10.1214/19-ejs1590
Abstract: We consider two problems of estimation in high-dimensional Gaussian models. The first problem is that of estimating a linear functional of the means of n independent p-dimensional Gaussian vectors, under the assumption that at most… read more here.
Keywords: robust estimation; estimation; group; linear functional ... See more keywords
Discriminant Analysis under f-Divergence Measures
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DOI: 10.3390/e24020188
Abstract: In statistical inference, the information-theoretic performance limits can often be expressed in terms of a statistical divergence between the underlying statistical models (e.g., in binary hypothesis testing, the error probability is related to the total… read more here.
Keywords: divergence measures; gaussian models; discriminant analysis; design ... See more keywords